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Services and Spaces Team Leader - Knowledge Management and Training Job No.: 686898 Location: Clayton campuses Employment Type: Full-time Duration: 12 month secondment Remuneration: $106,789
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The primary objective of this project is to enhance Large Language Models (LLMs) by incorporating software knowledge documentation. Our approach involves utilizing existing LLMs and refining them
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. Recent works on knowledge graph question generation [4,5] have mainly focussed on multi-hop questions. This project aims at developing novel methods that jointly address the challenging, dual problem
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use imaging surveys at X-ray, optical, infrared and radio wavelengths to measure the emission from stars, active galactic nuclei, warm dust, atomic hydrogen and relativistic electrons. Spectroscopic
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interpretability is by using integrative approaches to analyse and predict target classes based on the context of prior biological knowledge. This study aims to propose accurate and interpretable cancer prediction
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. Required knowledge Strong background in machine/deep learning, computer vision, or applied statistics. Solid programming skills in Python and experience with deep learning frameworks (e.g., PyTorch
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for intelligent systems to guard their execution and evolution. Required knowledge - deep learning - software development lifecycle
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before they are created in real life. Required knowledge The candidate should have some skills in the following areas, or a willingness to learn these skills: programming, machine learning, AI, neural
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to create a model that, once trained on a broad and diverse set of time series data, can transfer knowledge effectively across tasks, enabling faster and more accurate insights without needing
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, enabling proactive measures against potential threats. Required knowledge Python programming Machine learning background